4.9(*)(*)(*)(*)(*)(3423)

Why us?

  • Hands-on Projects
  • Real-world problem solving
  • Blockchain enabled certificate

Mastering Business Intelligence with Power BI

Learn how to turn data into actionable insights using Power BI & master the fundamentals of Business Intelligence.

  • 100% Online
  • Difficulty: Intermediate
  • Taught in English
  • Mandatory Project
  • 8 hours weekly, over 6 weeks
  • UNP Education
4.9(*)(*)(*)(*)(*)(3423)

Why us?

  • Hands-on Projects
  • Real-world problem solving
  • Blockchain enabled certificate

About the Course

Unlock the power of data with our industry-ready Power BI course! Whether you're a beginner or a professional looking to upskill, this comprehensive program is designed to take you from the fundamentals of Power BI Desktop to mastering job interviews — with the added edge of next-gen AI tools like Google Gemini and Microsoft Copilot.

This hands-on Power BI course is your ultimate guide to becoming a data-savvy professional. Learn to clean, analyze, and visualize data like a pro, and discover how to integrate Generative AI tools to work smarter and faster. From building powerful dashboards to acing job interviews and the PL-300 certification — we’ve got you covered.

What you'll Learn

  • Getting started with Microsoft Power BI Desktop — step-by-step.
  • Connecting, transforming & shaping data using Power Query.
  • Building robust data models & relationships for smart analysis.
  • Learning the core of DAX (Data Analysis Expressions) to level up your insights.
  • Designing interactive dashboards that tell compelling stories.
  • Mastering presentation & storytelling skills to showcase your work.
  • Cracking Power BI job interviews with expert mentorship and mock sessions.
  • Preparing confidently for the PL-300: Microsoft Power BI Data Analyst exam.
  • Using GenAI tools like Gemini & Microsoft Copilot to speed up analysis, automate insights, and enhance visual storytelling.

Who should take this Course

  • Business professionals aiming to become data-driven.
  • Aspiring and working data analysts.
  • Anyone curious about business intelligence & data visualization.
  • Complete beginners with no prior Power BI experience.
  • Students and professionals in business analysis, finance, marketing, or IT.
  • Individuals looking to learn AI-powered data analysis techniques.

What You’ll Get from This Course

  • Structured, beginner-friendly to advanced lessons.
  • Hands-on projects to create real-world Power BI dashboards.
  • Expert PL-300 certification tips & preparation.
  • Personalized job interview support & career guidance.
  • Access to GenAI-powered learning with Gemini & Copilot.
  • Lifetime access to updated resources and mentoring.

Meet Your Instructors

Sovan NayakDirector @ UNP Education

Sovan, Director at UNP, specializes in Business Intelligence solutions for global clients. He's passionate about using data analytics to solve business problems and is an expert in Advanced Excel, SQL, Tableau, and Power BI.

Frequently Asked Questions

Yes, all our sessions are conducted live to ensure an interactive learning experience.

No programming experience needed. Just come with a passion to learn.

Contact Us

Emaillearn@unp.education
Call Us+1.929.288.1787 (USA)
+91.800.829.1301 (India)

Course Content

  • 1.1. Complete Course Overview: Mastering Power BI
  • 1.2. Project Overview: Real-World Power BI Application
  • 1.3. Getting Started with Power BI Desktop
  • 1.4. Getting Started with Power BI Query Editor

  • 2.1. Power BI Data Connectors: How to Connect
  • 2.2. Connecting Data in Power BI Query Editor
  • 2.3. Power BI Data Types Explained
  • 2.4. Change Data Types Using Locale in Power BI
  • 2.5. Query Settings & Advanced Editor Guide
  • 2.6. Refreshing Data Preview in Power BI
  • 2.7. Choosing and Removing Columns in Power BI
  • 2.8. Keeping and Removing Rows in Power BI
  • 2.9. Sorting Data in Power BI
  • 2.10. Using First Row as Header in Power BI
  • 2.11. Splitting Columns in Power BI Query Editor
  • 2.12. Merge columns in Power BI
  • 2.13. Difference between Transform and Add column tabs in Power BI
  • 2.14. Grouping Data in Power BI: Group By Explained
  • 2.15. Replacing Values in Power BI Query Editor
  • 2.16. How to fix a Date column using "Split & Merge Columns" feature in Power BI
  • 2.17. Querying Strategies: When to use Reference or Duplicate
  • 2.18. Handling Missing Values, Duplicates, and Inconsistencies in Power BI
  • 2.19. Merging Queries in Power BI
  • 2.20. Appending Queries in Power BI
  • 2.21. Getting it all together in Maven Market Dataset

  • 3.1. Introduction to Table Keys
  • 3.2. Identifying the Primary and Foreign Keys in Maven Market Dataset
  • 3.3. Introduction to Table Relationships
  • 3.4. Introduction to Fact and Dimension Tables
  • 3.5. Creating the Data Model
  • 3.6. Creating a Date Table

  • 4.1. What are Metrics and KPIs
  • 4.2. Introduction to DAX
  • 4.3. Basic DAX Functions in Power BI
  • 4.4. Logical Functions in Power BI (DAX)
  • 4.5. Text Functions in Power BI (DAX) – Part 1
  • 4.6. Text Functions in Power BI (DAX) – Part 2
  • 4.7. Filter Functions in Power BI (DAX) – Part 1
  • 4.8. Filter Functions in Power BI (DAX) – Part 2
  • 4.9. Date and Time Functions in Power BI (DAX)
  • 4.10. Time Intelligence Functions in Power BI (DAX)

  • 5.1. Building Reports- Basic Charts Part 1
  • 5.2. Building Reports- Advanced Charts Part 1
  • 5.3. Building Reports- Advanced Charts Part 2
  • 5.4. Interactive Dashboards | Master Power BI Slicers
  • 5.5. Maven Market Case Study using Power BI Part 1.1
  • 5.6. Maven Market Case Study using Power BI Part 1.2
  • 5.7. Maven Market Case Study using Power BI Part 2
  • 5.8. Maven Market Case Study using Power BI Part 3

Upcoming Batches

There is no upcoming batch available
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